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of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and
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-constrained models. Currently, we are advancing the development of single-cell models, machine learning approaches based on cultivation data, and the integration of metabolic models with computational fluid
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Magnetic Resonance (NMR), and other biophysical techniques, to investigate the molecular mechanism of RNA function. When function of these molecular machines becomes apparent, it also provides a variety of
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parental leave, sick leave or military service. The following experience will strengthen your application: Experimental atomic physics Optics Photonics Optomechanics Nanofabrication Nanomechanics Cryogenics
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of the work will be based on the data reduction framework scipp (https://scipp.github.io ). Requirements Applicants must hold a PhD in physics, materials, computational science, or a similar area of science and